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# Copyright 2000 by Katharine Lindner. All rights reserved.
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
"""
This module provides code to work with files from Gobase.
http://megasun.bch.umontreal.ca/gobase/
Classes:
Record Holds gobase sequence data.
Iterator Iterates over sequence data in a gobase file.
Dictionary Accesses a gobase file using a dictionary interface.
RecordParser Parses gobase sequence data into a Record object.
_Scanner Scans a gobase-format stream.
_RecordConsumer Consumes gobase data to a Record object.
Functions:
index_file Index a FASTA file for a Dictionary.
"""
from types import *
import string
import re
from Bio import File
from Bio import Index
from Bio.ParserSupport import *
class Record:
"""Holds information from a Gobase record.
Members:
species_name
taxon_division
gobase_id
"""
def __init__(self, colwidth=60):
"""__init__(self, colwidth=60)
Create a new Record. colwidth specifies the number of residues
to put on each line.
"""
self.species_name = ''
self.taxon_division = ''
class SequenceRecord( Record ):
"""Holds information from a Gobase record.
Members:
molecule_type
is_plasmid
shape
submission_date
update_date
entrez_record
genbank_accession
"""
def __init__(self, colwidth=60):
"""__init__(self, colwidth=60)
Create a new Record. colwidth specifies the number of residues
to put on each line.
"""
Record.__init__( self )
self.molecule_type = ''
self.is_plasmid = ''
self.shape = ''
self.submission_date = ''
self.update_date = ''
self.entrez_record = ''
self.genbank_accession = ''
class GeneRecord( Record ):
"""Holds information from a Gobase record.
Members:
"""
def __init__(self, colwidth=60):
"""__init__(self, colwidth=60)
Create a new Record. colwidth specifies the number of residues
to put on each line.
"""
Record.__init__( self )
self.gene_class = ''
self.plasmid_encoded = ''
self.is_partial_gene = ''
self.is_pseudo_gene = ''
self.is_transpliced_gene = ''
self.chloroplast_origin = ''
self.contains_intron = ''
self.orf = ''
self.included_in_intron = ''
self.published_info = ''
self.genbank_accession = ''
self.entrez_record = ''
self.product_type = ''
self.product_class = ''
class ProteinRecord( Record ):
"""Holds information from a Gobase record.
Members:
product_class
gene_class
is_partial_protein
is_plasmid
function
entry_record
"""
def __init__(self, colwidth=60):
"""__init__(self, colwidth=60)
Create a new Record. colwidth specifies the number of residues
to put on each line.
"""
Record.__init__( self )
self.product_class = ''
self.gene_class = ''
self.is_partial_protein = ''
self.is_plasmid = ''
self.is_pseudo = ''
self.function = ''
self.entry_record = ''
class Iterator:
"""Returns one record at a time from a Gobase file.
Methods:
next Return the next record from the stream, or None.
"""
def __init__(self, handle, parser=None):
"""__init__(self, handle, parser=None)
Create a new iterator. handle is a file-like object. parser
is an optional Parser object to change the results into another form.
If set to None, then the raw contents of the file will be returned.
"""
if type(handle) is not FileType and type(handle) is not InstanceType:
raise ValueError, "I expected a file handle or file-like object"
self._uhandle = SGMLHandle( File.UndoHandle( handle ) )
self._parser = parser
def next(self):
"""next(self) -> object
Return the next gobase record from the file. If no more records,
return None.
"""
lines = []
first_tag = 'Recognition Sequence'
while 1:
line = self._uhandle.readline()
if not line:
break
if line[:len( first_tag )] == 'first_tag':
self._uhandle.saveline(line)
break
if not line:
return None
if self._parser is not None:
return self._parser.parse(File.StringHandle(data))
return data
def __iter__(self):
return iter(self.next, None)
class Dictionary:
"""Accesses a gobase file using a dictionary interface.
"""
__filename_key = '__filename'
def __init__(self, indexname, parser=None):
"""__init__(self, indexname, parser=None)
Open a Gobase Dictionary. indexname is the name of the
index for the dictionary. The index should have been created
using the index_file function. parser is an optional Parser
object to change the results into another form. If set to None,
then the raw contents of the file will be returned.
"""
self._index = Index.Index(indexname)
self._handle = open(self._index[Dictionary.__filename_key])
self._parser = parser
def __len__(self):
return len(self._index)
def __getitem__(self, key):
start, len = self._index[key]
self._handle.seek(start)
data = self._handle.read(len)
if self._parser is not None:
return self._parser.parse(File.StringHandle(data))
return data
def __getattr__(self, name):
return getattr(self._index, name)
class RecordParser:
"""Parses Gobase sequence data into a Record object.
"""
def __init__(self):
self._scanner = _Scanner()
self._consumer = _RecordConsumer()
def parse(self, handle):
self._scanner.feed(handle, self._consumer)
return self._consumer.data
class _Scanner:
"""Scans a gobase file.
Methods:
feed Feed in one gobase record.
"""
def feed(self, handle, consumer):
"""feed(self, handle, consumer)
Feed in gobase data for scanning. handle is a file-like object
containing gobase data. consumer is a Consumer object that will
receive events as the gobase data is scanned.
"""
if isinstance(handle, File.UndoHandle):
uhandle = handle
else:
uhandle = File.UndoHandle(handle)
uhandle = File.SGMLHandle( uhandle )
if uhandle.peekline():
self._scan_record(uhandle, consumer)
def _scan_line(self, uhandle ):
line = safe_readline( uhandle )
line = string.join( string.split( line ), ' ' ) + ' '
return line
def _text_in( self, uhandle, text, count ):
for j in range( count ):
try:
line = self._scan_line( uhandle )
text = text + line
except:
if( line == '' ):
return text
return text
def _scan_sequence_record( self, text, consumer ):
data = consumer.data
next_item = self._scan_field( text, 'Molecule type:', 'Species name:' )
data.molecule_type = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Shape of molecule:', 'Sequence length:' )
data.shape = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Plasmid:', 'Complete genome:' )
data.is_plasmid = consumer.text_field( next_item )
next_item = self._scan_field( text, 'NCBI Entrez record:', 'Genbank accession:' )
data.entrez_record = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Genbank accession:', 'Coding gene(s):' )
data.genbank_accession = consumer.text_field( next_item )
consumer.data = data
def _scan_gene_record( self, text, consumer ):
data = consumer.data
next_item = self._scan_field( text, 'Gene Class:', 'Species name:' )
data.gene_class = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Plasmid encoded:', 'Partial gene:' )
data.is_plasmid = consumer.word_field( next_item )
next_item = self._scan_field( text, 'Partial gene:', 'Pseudo:' )
data.is_partial_gene = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Pseudo:', 'Transpliced gene:' )
data.is_pseudo_gene = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Transpliced gene:', 'Chloroplast origin:' )
data.is_transpliced_gene = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Chloroplast origin:', 'Contains intron(s):' )
data.chloroplast_origin = consumer.word_field( next_item )
next_item = self._scan_field( text, 'Contains intron(s):' )
data.contains_intron = consumer.word_field( next_item )
next_item = self._scan_field( text, 'Included in intron:' )
data.included_in_intron = consumer.word_field( next_item )
next_item = self._scan_field( text, 'ORF:' )
data.orf = consumer.word_field( next_item )
next_item = self._scan_field( text, 'NCBI Entrez record:' )
data.entrez_record = consumer.word_field( next_item )
next_item = self._scan_field( text, 'Genbank accession:', 'Product type:' )
data.genbank_accession = consumer.word_field( next_item )
next_item = self._scan_field( text, 'Product type:', 'Product Class:' )
data.product_type = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Product Class:' )
data.product_class = consumer.text_field( next_item )
consumer.data = data
def _scan_protein_record( self, text, consumer ):
data = consumer.data
next_item = self._scan_field( text, 'Product Class:', 'Species name:' )
data.product_class = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Gene Class:', 'Partial protein:' )
data.gene_class = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Partial protein:', 'Conflict:' )
data.is_partial_protein = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Plasmid:', 'Sequence length:' )
data.is_plasmid = consumer.text_field( next_item )
next_item = self._scan_field( text, 'General function:' )
data.function = consumer.text_field( next_item )
next_item = self._scan_field( text, 'NCBI Entrez record:' )
data.entrez_record = consumer.word_field( next_item )
consumer.data = data
def _scan_record(self, uhandle, consumer):
text = ''
text = self._text_in( uhandle, text, 100 )
text = string.lstrip( text )
if( string.find( text, 'Sequence' ) == 0 ):
consumer.data = SequenceRecord()
self._scan_sequence_record( text, consumer )
elif( string.find( text, 'Gene' ) == 0 ):
consumer.data = GeneRecord()
self._scan_gene_record( text, consumer )
elif( string.find( text, 'Protein' ) == 0 ):
consumer.data = ProteinRecord()
self._scan_protein_record( text, consumer )
else:
print 'UNKNOWN!!!!!!'
data = consumer.data
next_item = self._scan_field( text, 'Species name:', 'Taxon division' )
data.species_name = consumer.text_field( next_item )
next_item = self._scan_field( text, 'Taxon division:' )
print next_item
data.taxon_division = consumer.word_field( next_item )
consumer.data = data
# consumer.end_sequence()
def _scan_field(self, text, field, next_field = None ):
start = string.find( text, field )
if( start == -1 ):
return ''
if( next_field == None ):
pattern = re.compile( '[A-Z][a-z0-9 ]+:' )
offset = start + len( field )
match = pattern.search( text[ offset: ] )
if match:
end = offset + match.start()
else:
end = start + 40
else:
end = string.find( text, next_field )
if( end == -1 ):
return ''
next_item = text[ start:end ]
return( next_item )
class _RecordConsumer(AbstractConsumer):
"""Consumer that converts a gobase record to a Record object.
Members:
data Record with gobase data.
"""
def __init__(self):
self.data = None
def end_sequence(self):
pass
def text_field( self, line ):
if( line == '' ):
return ''
cols = string.split( line, ': ' )
return( cols[ 1 ] )
def int_field( self, line ):
if( line == '' ):
return None
cols = string.split( line, ': ' )
return( int( cols[ 1 ] ) )
def word_field( self, line ):
if( line == '' ):
return ''
cols = string.split( line, ': ' )
cols = string.split( cols[ 1 ] )
return( cols[ 0 ] )
def date_field( self, line ):
if( line == '' ):
return ''
cols = string.split( line, ':' )
cols = string.split( cols[ 1 ] )
return( string.join( cols[ :3 ] ) )
def index_file(filename, indexname, rec2key=None):
"""index_file(filename, ind/exname, rec2key=None)
Index a gobase file. filename is the name of the file.
indexname is the name of the dictionary. rec2key is an
optional callback that takes a Record and generates a unique key
(e.g. the accession number) for the record. If not specified,
the sequence title will be used.
"""
if not os.path.exists(filename):
raise ValueError, "%s does not exist" % filename
index = Index.Index(indexname, truncate=1)
index[Dictionary._Dictionary__filename_key] = filename
iter = Iterator(open(filename), parser=RecordParser())
while 1:
start = iter._uhandle.tell()
rec = iter.next()
length = iter._uhandle.tell() - start
if rec is None:
break
if rec2key is not None:
key = rec2key(rec)
else:
key = rec.title
if not key:
raise KeyError, "empty sequence key was produced"
elif index.has_key(key):
raise KeyError, "duplicate key %s found" % key
index[key] = start, length
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